Confocal Microscopic Image Sequence Compression Using Vector Quantization and 3d Pyramids
نویسندگان
چکیده
The 3D pyramid compressor project at the University of Glasgow has developed a compressor for images obtained from CLSM device. The proposed method using a combination of image pyramid coder and vector quantization techniques has good performance at compressing confocal volume image data. An experiment was conducted on several kinds of CLSM data using the presented compressor compared to other well-known volume data compressors, such as MPEG-1. The results showed that the 3D pyramid compressor gave higher subjective and objective quality of reconstructed images at the same compression ratio and presented more acceptable results when applying image processing filters on reconstructed images.
منابع مشابه
Confocal Microscopic Image Sequence Compression using Vector Quantization and 3D Pyramid (Microscopic Image Compression using VQ and 3D Pyramid)
: Department of Computing Science, University of Glasgow, Glasgow, Scotland {wpc, gaog, tao}@dcs.gla.ac.uk : Analog Information Systems, Edinburgh, Scotland [email protected] : Depto. de Farmacologia, Terapeútica i Toxicologia. Facultat de Medicina. Universitat Autonoma de Barcelona. Barcelona, Spain. Ana M. [email protected] : Faculty of Biomedical & Life Sciences, University of Glasgow, ...
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